This course equips students with the theoretical foundations and practical skills necessary to leverage cutting-edge artificial intelligence techniques for solving complex business challenges. Focusing specifically on Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs), the course aims to develop proficiency in selecting, implementing, and managing AI solutions aligned with organizational objectives. Core objectives include mastering fundamental ML algorithms (supervised/unsupervised learning), understanding the architectures and training processes of deep neural networks (CNNs, RNNs, Transformers), and gaining hands-on experience with state-of-the-art LLMs for tasks like text generation, analysis, and automation. Students will critically evaluate the capabilities and limitations of these technologies, assess their ethical, societal, and strategic implications within business contexts, and learn to communicate AI concepts effectively to diverse stakeholders. The course emphasizes practical application through projects and case studies, preparing graduates to drive innovation and build sustainable, AI-powered business infrastructure.